Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises
المؤلفون المشاركون
Caballero-Águila, R.
García-Garrido, I.
Linares-Perez, Josefa
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-05-27
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The optimal least-squares linear estimation problem is addressed for a class of discrete-time multisensor linear stochastic systems with missing measurements and autocorrelated and cross-correlated noises.
The stochastic uncertainties in the measurements coming from each sensor (missing measurements) are described by scalar random variables with arbitrary discrete probability distribution over the interval [0,1]; hence, at each single sensor the information might be partially missed and the different sensors may have different missing probabilities.
The noisecorrelation assumptions considered are (i) the process noise and all the sensor noises are one-step autocorrelated; (ii) different sensor noises are one-step cross-correlated; and (iii) the process noiseand each sensor noise are two-step cross-correlated.
Under these assumptions and by an innovation approach, recursive algorithms for the optimal linear filter are derived by using the two basic estimation fusion structures; more specifically, both centralized and distributed fusion estimation algorithms are proposed.
The accuracy of these estimators is measured by their error covariance matrices, which allow us to compare their performance in a numerical simulation example that illustrates the feasibility of the proposed filtering algorithms and shows a comparison with other existing filters.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Caballero-Águila, R.& García-Garrido, I.& Linares-Perez, Josefa. 2013. Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1031884
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Caballero-Águila, R.…[et al.]. Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises. Mathematical Problems in Engineering No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1031884
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Caballero-Águila, R.& García-Garrido, I.& Linares-Perez, Josefa. Optimal Fusion Filtering in Multisensor Stochastic Systems with Missing Measurements and Correlated Noises. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1031884
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1031884
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر